Instructions to use sanchit-gandhi/whisper-medium-fleurs-lang-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanchit-gandhi/whisper-medium-fleurs-lang-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="sanchit-gandhi/whisper-medium-fleurs-lang-id")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("sanchit-gandhi/whisper-medium-fleurs-lang-id") model = AutoModelForAudioClassification.from_pretrained("sanchit-gandhi/whisper-medium-fleurs-lang-id") - Notebooks
- Google Colab
- Kaggle
Pipeline cannot infer suitable model classes from sanchit-gandhi/whisper-medium-fleurs-lang-id
#11 opened almost 2 years ago
by
Lucas5g
Issue with evaluating during training using weighted layer sum
#10 opened about 2 years ago
by
kimedaka
inference
🔥 2
#9 opened about 2 years ago
by
varunril
Getting error in finetuning the whisper model
#8 opened over 2 years ago
by
Anujgr8
decreasing validation loss?
#5 opened almost 3 years ago
by
fkov
env setup guide: pytorch+deepspeed+transformers
5
#4 opened almost 3 years ago
by
fkov
Custom Classifier
2
#3 opened about 3 years ago
by
kimedaka
AttributeError: /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1: undefined symbol: nvmlDeviceGetComputeRunningProcesses_v3
5
#2 opened about 3 years ago
by
MLLife
How do you fine tune Whisper for classification task rather than transcription?
🤝 1
6
#1 opened about 3 years ago
by
nkburns